Combining citizen science and AI to predict Harmful Algal Blooms (HABs) in the Baltic Sea
Citizen science has become a powerful tool to empower and educate citizens to participate in challenges facing their communities by contributing valuable data for advanced analytics. As part of the third cycle of ODF Sweden, “The HAB/Killer Algae Challenge”, we have created a flexible workflow with an integrated GUI for reporting and data acquisition of HABs, in collaboration with Maranics and regional authorities in Stockholm and Västerbotten. We have also successfully developed the first iteration ML model to identify blooms from images in a mobile application. This presentation will highlight some of the challenges and outcomes from our second season of data collection and its impact on the community, and look forward to what we aim to accomplish in the upcoming season.